摘要
[目的]探究不同林型对PM_(2.5)的调控作用和净化效应,进而研究气象因子与PM_(2.5)质量浓度的相关性。[方法]以哈尔滨城市森林3种不同林型为主要研究对象,选择3种典型天气条件,PM_(2.5)质量浓度进行连续12 h的观测。[结果]晴天时PM_(2.5)质量浓度最小;而在降水之后的阴天条件下,其质量浓度是晴天时的1.34倍,日变化幅度不大;多云天气时,PM_(2.5)质量浓度的增加明显,日变化幅度较大,其质量浓度是晴天时的1.69倍。3种不同林型对PM_(2.5)均会起到一定的净化效应,各天气条件下净化效应从大到小依次为晴天、阴天、多云。晴天时,PM_(2.5)质量浓度与气压达到极显著正相关;多云时,PM_(2.5)质量浓度与气温呈极显著负相关,而与相对湿度和气压呈极显著正相关,与风速的相关性不显著;阴天时,PM_(2.5)质量浓度与气象因子的相关性较低,与风速呈负相关,与气压、气温和相对湿度呈正相关,但均未达到显著性水平。[结论]建议人们选择晴天条件下在樟子松林内进行休闲活动,且活动时间选择在午后;PM_(2.5)质量浓度变化趋势因天气条件差异而不同。
[ Objective ] To research the regulatory effects and purification effects of different forest types on PM25 ; and to study the relationship between meteorological element and PM2.5 concentration. [ Method] With three different forest types in Harbin as the research object, PM25 mass concentration in 12 h was continuously observed with three typical climate conditions. [ Result] PM25 concentration was the minimum in sunny day. In cloudy days after precipitation, its concentration was 1. 34 times of the clear day with a small range of daily change. In cloudy days, PM2.5 concentration increased obviously with relatively great range of daily change; its concentration was 1.69 times of the sunny day. The three different forest types had certain purification effects on PMz5, which we＇re in the order of sunny days 〉 overcast day 〉 cloudy day. In sunny days, PM2.5 mass concentration had extremely significant positive correlation with air pressure. In overcast day, PM2.5 mass concentration had extremely significant negative correlation with air temperature, had extremely significant positive correlation with relative humidity and air pressure, but showed no significant correlation with wind speed. In cloudy day, PM2.5 mass concentration had poor correlation with meteorological factor, showed negative correlation with wind speed, and had positive correlation with air pressure, temperature and relative humidity. All these did not reach significant correlation. [ Conclusion] It suggests people choose sunny day for leisure activities in Pinus sylvestris forest in the affternonn. The trend of PM2.5 concentration varies with weather conditions.
出处
《安徽农业科学》
CAS
2016年第5期175-179,共5页
Journal of Anhui Agricultural Sciences
基金
中央高校基本科研业务费专项(2572014CA20)
东北林业大学大学生科研训练项目(2572014CA20)
